Data Scientist

Essential functions

Time Series Modeling & Forecasting

• Monitor model performance, retrain models as needed, and implement improvements to reduce forecast error.

• Build, tune, and evaluate supervised learning models (e.g., XGBoost, Random Forest) for classification and regression tasks.

• Perform feature engineering, selection, and validation to optimize model accuracy and robustness.

Pipeline Orchestration

• Design and implement ETL workflows in Azure Data Factory (or similar) to ingest, cleanse, and transform large datasets.

• Leverage Databricks and Spark to process and analyze big data efficiently.

Insights & Reporting

• Create interactive dashboards and visualizations in Power BI to communicate findings to stakeholders.

• Translate complex analytical outcomes into clear, actionable business recommendations.

Collaboration & Documentation

• Work closely with product owners and business stakeholders to define requirements and success metrics.

• Document methodologies, code, and data pipelines following best practices and version control (Git).

Qualifications

Experience:

• 5+ years as a Data Scientist, Data Analyst, or similar role in an analytics environment.

• Proven track record building timeseries and machine learning models in production.

Technical Skills:

• Programming: Python (pandas, NumPy, scikitlearn), SQL (TSQL, PostgreSQL).

• Big Data & Cloud: Databricks, Apache Spark.

• Knowledge with different models such as: ARIMA/SARIMA, Prophet, Croston’s method, ETS, XGBoost, Random Forest, Gradient Boosting.

• ETL & Orchestration: Azure Data Factory or equivalent (e.g., AWS Glue, Google Cloud Dataflow).

• Model Management: MLflow or similar for experiment tracking and model registry.

• Deployment: Docker, CI/CD tools (e.g., Azure DevOps, Jenkins).

• Visualization: Power BI, Tableau, or equivalent.

Would be a plus

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We offer

• Flexible working hours (full-time).

• One "Flex Day" off per month.

• 10 business days of vacation.

• Swiss Medical health coverage.

• Permanent contract with salary reviews every four months (PESOS ARG).

• Access to Udemy and Platzi for professional training.

• Employee Assistance Program (financial, nutritional, psychological support, etc.).

• Fully covered English classes during working hours.

• Discounts on Club de Beneficios and Samsung products.

• Birthday day off.

About us

Grid Dynamics (NASDAQ: GDYN), is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.